In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. * Observability & Lifecycle Management: Implement advanced monitoring and logging solutions (e.g., MLflow, ELK stack) to track model performance, data drift, and system health in real-world applications. * MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning.
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